Data Scientist vs. Senior Data Scientist: The Difference

Data Scientist vs. Senior Data Scientist: The Difference

This article is for current data scientists who want to move up in their careers as well as for people switching careers to the data science landscape and want to know what separates and defines a senior role. It is important to note that not every workplace or company will offer both of these positions; however, if you satisfy the characteristics of a senior data scientist, you may be able to prove to your company why getting that title is worth it for you and them. Similarities and differences between the two positions

This article is for current data scientists who want to move up in their careers as well as for people switching careers to the data science landscape and want to know what separates and defines a senior role. It is important to note that not every workplace or company will offer both of these positions; however, if you satisfy the characteristics of a senior data scientist, you may be able to prove to your company why getting that title is worth it for you and them.

The senior data scientist position does not just mean that you are a data scientist with a certain amount of years of experience. It is rather, a position that entails a difference in responsibility of the impact of your data science or machine learning models on the business that you work for.

Not only are there key differences between the two job titles, but there are also some interesting differences and overlaps between the amount of machine learning, business intelligence, and product management from each role. Below, I will discuss both my experience in the two positions as well as reference material on distinguishing the two titles.

machine-learning data-scientist

What's new in Bootstrap 5 and when Bootstrap 5 release date?

How to Build Progressive Web Apps (PWA) using Angular 9

What is new features in Javascript ES2020 ECMAScript 2020

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Random Password Generator Online

HTML Color Picker online | HEX Color Picker | RGB Color Picker

What is Supervised Machine Learning

What is neuron analysis of a machine? Learn machine learning by designing Robotics algorithm. Click here for best machine learning course models with AI

Will Data Engineer Take Over Machine Learning Work In Future, Surpassing Data Scientist?

Over the years, there has been a lot of hype around machine learning, and there is enormous interest in data science as a career. But what about the future of data science in general? We know that job titles are fragile and job responsibilities that prove themselves add value to the business and become sustainable. …

What can data scientists learn from clickstream and exhaust data?

Even if working with exhaust data can be a little exhaust-ing (sorry), taking all of a customer’s data into account is a great way to really understand their behaviour.

Lockdown Learning Resources for Data Scientists

For better or worse you may have a lot more time on your hands these days and here is a list of free(ish) learning resources to help you

I wanna be a Data Scientist!!!

What we find from this picture is that Artificial Intelligence (AI) is a main part or the father set. Machine learning (ML) is the child set of AI and further Deep Learning (DL) is the child set of ML.